• In ecommerce, to improve the relevance of recommendation engines, retailers can benefit from continuously updating their ML model with real-time data on shoppers’ browsing activity, product and ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Deep learning uses algorithms inspired by the way human brains operate to put computers to work on tasks too big for organic gray matter. On Monday, IBM announced that a new record for the performance ...

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

At its annual customer conference Tuesday, Tableau laid out a three-year product roadmap aimed at bolstering the company's suite of data visualization and analytics tools. The roadmap covers a bevy of ...